Skip to main content
Log in

Roles of the apparent diffusion coefficient and tumor volume in predicting tumor grade in patients with choroid plexus tumors

  • Diagnostic Neuroradiology
  • Published:
Neuroradiology Aims and scope Submit manuscript

Abstract

Purpose

To explore the utility of the apparent diffusion coefficient (ADC) and tumor volume to predict histological grade and prognosis in patients with choroid plexus tumors.

Methods

ADC and tumor volumes were retrospectively evaluated in 25 patients with choroid plexus papilloma (CPP; WHO grade 1 [n = 13]), atypical CPP (aCPP; grade 2 [n = 8]), or choroid plexus carcinoma (grade 3 [n = 4]) The prognostic roles of ADC and tumor volume were assessed.

Results

There were significant differences in mean and minimum ADC values, and tumor volume among the WHO grades (p = 0.033, p = 0.044, and p = 0.014, respectively). Receiver-operating characteristic analysis revealed a mean cutoff ADC value ≤ 1.397 × 10−3 mm2/s for aCPP (sensitivity = 0.667, specificity = 0.923). Multiple linear regression analysis demonstrated that both mean ADC (β = − 0.455, p = 0.005) and tumor volume (β = 0.513, p = 0.002) were correlated with WHO grade (adjusted R2 = 0.520, p = 0.005). Kaplan-Meier curve analysis identified poorer survival in patients with WHO grade 2 and 3 tumors than in those with WHO grade 1 disease (p = 0.049 and p = 0.012, respectively). A mean ADC ≤ 1.397 × 10−3 mm2/s (p = 0.001) and tumor volume 21.05 ml (p = 0.031) predicted significantly poorer survival.

Conclusion

Mean ADC and tumor volume were correlated with WHO grade of choroid plexus tumors. A lower ADC value and a larger tumor volume predicted a poorer prognosis.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Cavenee WK, Louis DN, Ohgaki H, Wiestler OD, International Agency for Research on Cancer. (2016) WHO classification of tumours of the central nervous system. World Health Organization classification of tumours, Revised 4th edn. International Agency For Research On Cancer, Lyon

  2. Heim S, Beschorner R, Mittelbronn M, Keyvani K, Riemenschneider MJ, Vajtai I, Hartmann C, Acker T, Blumcke I, Paulus W, Hasselblatt M (2014) Increased mitotic and proliferative activity are associated with worse prognosis in papillary tumors of the pineal region. Am J Surg Pathol 38(1):106–110. https://doi.org/10.1097/PAS.0b013e31829e492d

    Article  PubMed  Google Scholar 

  3. Thomas C, Ruland V, Kordes U, Hartung S, Capper D, Pietsch T, Gerss J, Wolff JE, Paulus W, Hasselblatt M (2015) Pediatric atypical choroid plexus papilloma reconsidered: increased mitotic activity is prognostic only in older children. Acta Neuropathol 129(6):925–927. https://doi.org/10.1007/s00401-015-1434-z

    Article  PubMed  Google Scholar 

  4. Sui Y, Wang H, Liu G, Damen FW, Wanamaker C, Li Y, Zhou XJ (2015) Differentiation of low- and high-grade pediatric brain tumors with high b-value diffusion-weighted MR imaging and a fractional order calculus model. Radiology 277(2):489–496. https://doi.org/10.1148/radiol.2015142156

    Article  PubMed  PubMed Central  Google Scholar 

  5. Bull JG, Saunders DE, Clark CA (2012) Discrimination of paediatric brain tumours using apparent diffusion coefficient histograms. Eur Radiol 22(2):447–457. https://doi.org/10.1007/s00330-011-2255-7

    Article  PubMed  Google Scholar 

  6. Lober RM, Cho Y-J, Tang Y, Barnes PD, Edwards MS, Vogel H, Fisher PG, Monje M, Yeom KW (2014) Diffusion-weighted MRI derived apparent diffusion coefficient identifies prognostically distinct subgroups of pediatric diffuse intrinsic pontine glioma. J Neuro-Oncol 117(1):175–182. https://doi.org/10.1007/s11060-014-1375-8

    Article  Google Scholar 

  7. Lim C, Flood TA, Hakim SW, Shabana WM, Quon JS, El-Khodary M, Thornhill RE, El Hallani S, Schieda N (2016) Evaluation of apparent diffusion coefficient and MR volumetry as independent associative factors for extra-prostatic extension (EPE) in prostatic carcinoma. J Magn Reson Imaging 43(3):726–736. https://doi.org/10.1002/jmri.25033

    Article  PubMed  Google Scholar 

  8. Nougaret S, Reinhold C, Alsharif SS, Addley H, Arceneau J, Molinari N, Guiu B, Sala E (2015) Endometrial cancer: combined MR volumetry and diffusion-weighted imaging for assessment of myometrial and lymphovascular invasion and tumor grade. Radiology 276(3):797–808. https://doi.org/10.1148/radiol.15141212

    Article  PubMed  PubMed Central  Google Scholar 

  9. Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1(8476):307–310

    Article  CAS  PubMed  Google Scholar 

  10. Ludbrook J (2002) Statistical techniques for comparing measurers and methods of measurement: a critical review. Clin Exp Pharmacol Physiol 29(7):527–536

    Article  CAS  PubMed  Google Scholar 

  11. Mukuda N, Fujii S, Inoue C, Fukunaga T, Tanabe Y, Itamochi H, Ogawa T (2016) Apparent diffusion coefficient (ADC) measurement in ovarian tumor: effect of region-of-interest methods on ADC values and diagnostic ability. J Magn Reson Imaging 43(3):720–725. https://doi.org/10.1002/jmri.25011

    Article  PubMed  Google Scholar 

  12. Han X, Suo S, Sun Y, Zu J, Qu J, Zhou Y, Chen Z, Xu J (2016) Apparent diffusion coefficient measurement in glioma: influence of region-of-interest determination methods on apparent diffusion coefficient values, interobserver variability, time efficiency, and diagnostic ability. J Magn Reson Imaging 45:722–730. https://doi.org/10.1002/jmri.25405

    Article  PubMed  Google Scholar 

  13. Priola AM, Priola SM, Parlatano D, Gned D, Giraudo MT, Giardino R, Ferrero B, Ardissone F, Veltri A (2017) Apparent diffusion coefficient measurements in diffusion-weighted magnetic resonance imaging of the anterior mediastinum: inter-observer reproducibility of five different methods of region-of-interest positioning. Eur Radiol 27(4):1386–1394. https://doi.org/10.1007/s00330-016-4527-8

    Article  PubMed  Google Scholar 

  14. Giannotti E, Waugh S, Priba L, Davis Z, Crowe E, Vinnicombe S (2015) Assessment and quantification of sources of variability in breast apparent diffusion coefficient (ADC) measurements at diffusion weighted imaging. Eur J Radiol 84(9):1729–1736. https://doi.org/10.1016/j.ejrad.2015.05.032

    Article  CAS  PubMed  Google Scholar 

  15. Koral K, Mathis D, Gimi B, Gargan L, Weprin B, Bowers DC, Margraf L (2013) Common pediatric cerebellar tumors: correlation between cell densities and apparent diffusion coefficient metrics. Radiology 268(2):532–537. https://doi.org/10.1148/radiol.13121362

    Article  PubMed  Google Scholar 

  16. Yamasaki F, Kurisu K, Satoh K, Arita K, Sugiyama K, Ohtaki M, Takaba J, Tominaga A, Hanaya R, Yoshioka H, Hama S, Ito Y, Kajiwara Y, Yahara K, Saito T, Thohar MA (2005) Apparent diffusion coefficient of human brain tumors at MR imaging. Radiology 235(3):985–991. https://doi.org/10.1148/radiol.2353031338

    Article  PubMed  Google Scholar 

  17. Zhang L, Min Z, Tang M, Chen S, Lei X, Zhang X (2017) The utility of diffusion MRI with quantitative ADC measurements for differentiating high-grade from low-grade cerebral gliomas: evidence from a meta-analysis. J Neurol Sci 373:9–15. https://doi.org/10.1016/j.jns.2016.12.008

    Article  PubMed  Google Scholar 

  18. Malayeri AA, Khouli RHE, Zaheer A, Jacobs MA, Corona-Villalobos CP, Kamel IR, Macura KJ (2011) Principles and applications of diffusion-weighted imaging in cancer detection, staging, and treatment follow-up. Radiographics 31(6):1773–1791. https://doi.org/10.1148/rg.316115515

    Article  PubMed  Google Scholar 

  19. Bettegowda C, Adogwa O, Mehta V, Chaichana KL, Weingart J, Carson BS, Jallo GI, Ahn ES (2012) Treatment of choroid plexus tumors: a 20-year single institutional experience. J Neurosurg Pediatr 10(5):398–405. https://doi.org/10.3171/2012.8.peds12132

    Article  PubMed  PubMed Central  Google Scholar 

  20. Thomas C, Sill M, Ruland V, Witten A, Hartung S, Kordes U, Jeibmann A, Beschorner R, Keyvani K, Bergmann M, Mittelbronn M, Pietsch T, Felsberg J, Monoranu CM, Varlet P, Hauser P, Olar A, Grundy RG, Wolff JE, Korshunov A, Jones DT, Bewerunge-Hudler M, Hovestadt V, von Deimling A, Pfister SM, Paulus W, Capper D, Hasselblatt M (2016) Methylation profiling of choroid plexus tumors reveals 3 clinically distinct subgroups. Neuro-Oncology 18(6):790–796. https://doi.org/10.1093/neuonc/nov322

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Ogura A, Hayakawa K, Miyati T, Maeda F (2011) Imaging parameter effects in apparent diffusion coefficient determination of magnetic resonance imaging. Eur J Radiol 77(1):185–188. https://doi.org/10.1016/j.ejrad.2009.06.031

    Article  PubMed  Google Scholar 

  22. Wrede B, Liu P, Wolff JE (2007) Chemotherapy improves the survival of patients with choroid plexus carcinoma: a meta-analysis of individual cases with choroid plexus tumors. J Neuro-Oncol 85(3):345–351. https://doi.org/10.1007/s11060-007-9428-x

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tomoaki Sasaki.

Ethics declarations

Funding

TS was funded by JSPS KAKENHI Grant Number JP15K19762.

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. For this type of study formal consent is not required.

Informed consent

For this type of retrospective study formal consent is not required.

Electronic supplementary material

ESM 1

(DOCX 18.9 kb)

ESM 2

(DOCX 88.6 kb)

ESM 3

(DOCX 263 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sasaki, T., Kim, J., Moritani, T. et al. Roles of the apparent diffusion coefficient and tumor volume in predicting tumor grade in patients with choroid plexus tumors. Neuroradiology 60, 479–486 (2018). https://doi.org/10.1007/s00234-018-2008-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00234-018-2008-2

Keywords

Navigation